CoreWeave, The Essential Cloud for AI, has announced CoreWeave Physical AI Launchables, a catalog of physical AI workloads packaged as Templates, built and tested by CoreWeave engineers, that let robotics, autonomous vehicle, and simulation teams start a run with one command instead of rebuilding their environment first. Unveiled at NVIDIA GTC Berlin, Launchables extends CoreWeave's platform into the engineering layer where physical AI work happens.
CoreWeave has announced Physical AI Launchables, a catalog of physical AI workloads packaged as tested Templates.
Launchables let robotics, AV and simulation teams start a run with one command instead of rebuilding their environment first.
At launch, Templates span NVIDIA Isaac Sim, CARLA, MuJoCo, NVIDIA AlpaSim and NVIDIA Cosmos 3.
Launchables also includes new Cosmos Data Factory agentic skills for generative AI data augmentation, auto-labeling, data curation and retrieval.
Every Template ships its own agent skills tuned for high performance on CoreWeave's cloud, for Claude Code, Codex and other coding agents.
Partners include Cadence, Convergent Science, Encord, nTop, PhysicsX and Voxel51.
"Robotics and autonomous vehicle teams are doing some of the most demanding engineering in this industry, and they should be spending their time on it," said Richard Ahlfeld, senior vice president of physical AI at CoreWeave. "Physical AI Launchables gives them a tested starting point for the tools they already use, so more of their time goes to the work only they can do."
"NVIDIA's reference agent skills for physical AI are built to run on any cloud," said Nakul Arora, director of product management, NVIDIA. "CoreWeave has built their own version optimized for their AI cloud and ships it with Physical AI Launchables, so these workflows run natively on their infrastructure and developers can focus on the physical AI problem rather than the orchestration underneath."
The hard part of robotics and AV engineering is rarely perception, motion planning, or control systems. It is the week before the run, when someone has to stand up the environment, configure storage, and wait on the scheduler before the first job can start. CoreWeave engineers built and tested the configurations for the workloads these teams run most often.
CoreWeave Physical AI Launchables builds on a stack CoreWeave already operates: the infrastructure these workloads run on, observability that shows how a run is performing, and CoreWeave Forge for developing and improving models and agents. The software comes from NVIDIA and the other companies leading this field, while the configurations that make it run are CoreWeave's own engineering work.
For engineering teams, Templates change the level the work happens at:
Work at the domain level: Teams build with the models, datasets, environments, and evaluations they already understand, while CoreWeave handles the packaging, deployment, and execution beneath.
Reuse and adapt working templates: Settings or application code can change without rebuilding what runs them.
Keep GPUs busy on GPU work: Where the workload permits, Templates finish CPU-only preparation and post-processing before GPU execution begins.
Run in parallel without collisions: Each Template declares its own resource and concurrency limits.
Automate through scripts and agents: Every operation is documented and every response machine-readable.
Get every result back in one place: Reports, metrics, media, and diagnostics all return through the same interface.
Partner Ecosystem
CoreWeave is also working with software providers in physical AI to run their products on CoreWeave infrastructure, so teams can stay in the tool they already use.
"Physical AI demands a new level of performance and scale across the entire AI development lifecycle, from data enrichment through to model inference," said Eric Landau, co-founder and CEO, Encord. "By bringing together CoreWeave's accelerated compute infrastructure and Encord's AI data platform, we're making it easier for teams to work with multimodal data."
"By combining Voxel51's data workflows with CoreWeave's high-performance compute, we're helping developers accelerate the data flywheel," said Brian Moore, co-founder and CEO, Voxel51.
About CoreWeave
CoreWeave is The Essential Cloud for AI. Built for pioneers by pioneers, CoreWeave delivers a fully integrated platform of technology and teams that enables innovators to move at the pace of innovation, building and scaling AI with confidence. Trusted by 9 of the 10 leading foundation model providers, CoreWeave serves as a force multiplier by combining superior infrastructure performance with deep technical expertise. Established in 2017, CoreWeave completed its public listing on Nasdaq (CRWV) in March 2025.
